analyzeSentiment |
Sentiment analysis |
analyzeSentiment.character |
Sentiment analysis |
analyzeSentiment.Corpus |
Sentiment analysis |
analyzeSentiment.data.frame |
Sentiment analysis |
analyzeSentiment.DocumentTermMatrix |
Sentiment analysis |
analyzeSentiment.TermDocumentMatrix |
Sentiment analysis |
compareDictionaries |
Compares two dictionaries |
compareToResponse |
Compare sentiment values to existing response variable |
compareToResponse.data.frame |
Compare sentiment values to existing response variable |
compareToResponse.factor |
Compare sentiment values to existing response variable |
compareToResponse.integer |
Compare sentiment values to existing response variable |
compareToResponse.logical |
Compare sentiment values to existing response variable |
compareToResponse.numeric |
Compare sentiment values to existing response variable |
convertToBinaryResponse |
Convert continuous sentiment to direction |
convertToDirection |
Convert continuous sentiment to direction |
countWords |
Count words |
countWords.character |
Count words |
countWords.Corpus |
Count words |
countWords.data.frame |
Count words |
countWords.DocumentTermMatrix |
Count words |
countWords.TermDocumentMatrix |
Count words |
DictionaryGI |
Dictionary with opinionated words from the Harvard-IV dictionary as used in the General Inquirer software |
DictionaryHE |
Dictionary with opinionated words from Henry's Financial dictionary |
DictionaryLM |
Dictionary with opinionated words from Loughran-McDonald Financial dictionary |
enetEstimation |
Elastic net estimation |
extractWords |
Extract words from dictionary |
generateDictionary |
Generates dictionary of decisive terms |
generateDictionary.character |
Generates dictionary of decisive terms |
generateDictionary.Corpus |
Generates dictionary of decisive terms |
generateDictionary.data.frame |
Generates dictionary of decisive terms |
generateDictionary.DocumentTermMatrix |
Generates dictionary of decisive terms |
generateDictionary.TermDocumentMatrix |
Generates dictionary of decisive terms |
glmEstimation |
Estimation via generalized least squares |
lassoEstimation |
Lasso estimation |
lmEstimation |
Ordinary least squares estimation |
loadDictionaryGI |
Loads Harvard-IV dictionary into object |
loadDictionaryHE |
Loads Henry's finance-specific dictionary into object |
loadDictionaryLM |
Loads Loughran-McDonald dictionary into object |
loadDictionaryLM_Uncertainty |
Loads uncertainty words from Loughran-McDonald into object |
loadDictionaryQDAP |
Loads polarity words from qdap package into object |
loadImdb |
Retrieves IMDb dataset |
lookupEstimationMethod |
Estimation method |
ngram_tokenize |
N-gram tokenizer |
numEntries |
Number of words in dictionary |
numNegativeEntries |
Number of negative words in dictionary |
numPositiveEntries |
Number of positive words in dictionary |
plot.SentimentDictionaryWeighted |
KDE plot of estimated coefficients |
plotSentiment |
Line plot with sentiment scores |
plotSentimentResponse |
Scatterplot with trend line between sentiment and response |
predict.SentimentDictionaryWeighted |
Prediction for given dictionary |
preprocessCorpus |
Default preprocessing of corpus |
print.SentimentDictionaryBinary |
Output content of sentiment dictionary |
print.SentimentDictionaryWeighted |
Output content of sentiment dictionary |
print.SentimentDictionaryWordlist |
Output content of sentiment dictionary |
read |
Read dictionary from text file |
ridgeEstimation |
Ridge estimation |
ruleLinearModel |
Sentiment based on linear model |
ruleNegativity |
Ratio of negative words |
rulePositivity |
Ratio of positive words |
ruleRatio |
Ratio of dictionary words |
ruleSentiment |
Sentiment score |
ruleSentimentPolarity |
Sentiment polarity score |
ruleWordCount |
Counts word frequencies |
SentimentDictionary |
Create new sentiment dictionary based on input |
SentimentDictionaryBinary |
Create a sentiment dictionary of positive and negative words |
SentimentDictionaryWeighted |
Create a sentiment dictionary of words linked to a score |
SentimentDictionaryWordlist |
Create a sentiment dictionary consisting of a simple wordlist |
spikeslabEstimation |
Spike-and-slab estimation |
summary.SentimentDictionaryBinary |
Output summary information on sentiment dictionary |
summary.SentimentDictionaryWeighted |
Output summary information on sentiment dictionary |
summary.SentimentDictionaryWordlist |
Output summary information on sentiment dictionary |
toDocumentTermMatrix |
Default preprocessing of corpus and conversion to document-term matrix |
transformIntoCorpus |
Transforms the input into a Corpus object |
write |
Write dictionary to text file |
write.SentimentDictionaryBinary |
Write dictionary to text file |
write.SentimentDictionaryWeighted |
Write dictionary to text file |
write.SentimentDictionaryWordlist |
Write dictionary to text file |